Google Professional Data Engineer Exam
Last Update Sep 7, 2024
Total Questions : 330
To help you prepare for the Professional-Data-Engineer Google exam, we are offering free Professional-Data-Engineer Google exam questions. All you need to do is sign up, provide your details, and prepare with the free Professional-Data-Engineer practice questions. Once you have done that, you will have access to the entire pool of Google Professional Data Engineer Exam Professional-Data-Engineer test questions which will help you better prepare for the exam. Additionally, you can also find a range of Google Professional Data Engineer Exam resources online to help you better understand the topics covered on the exam, such as Google Professional Data Engineer Exam Professional-Data-Engineer video tutorials, blogs, study guides, and more. Additionally, you can also practice with realistic Google Professional-Data-Engineer exam simulations and get feedback on your progress. Finally, you can also share your progress with friends and family and get encouragement and support from them.
MJTelco needs you to create a schema in Google Bigtable that will allow for the historical analysis of the last 2 years of records. Each record that comes in is sent every 15 minutes, and contains a unique identifier of the device and a data record. The most common query is for all the data for a given device for a given day. Which schema should you use?
You need to compose visualization for operations teams with the following requirements:
Telemetry must include data from all 50,000 installations for the most recent 6 weeks (sampling once every minute)
The report must not be more than 3 hours delayed from live data.
The actionable report should only show suboptimal links.
Most suboptimal links should be sorted to the top.
Suboptimal links can be grouped and filtered by regional geography.
User response time to load the report must be <5 seconds.
You create a data source to store the last 6 weeks of data, and create visualizations that allow viewers to see multiple date ranges, distinct geographic regions, and unique installation types. You always show the latest data without any changes to your visualizations. You want to avoid creating and updating new visualizations each month. What should you do?
You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?
You work for a manufacturing plant that batches application log files together into a single log file once a day at 2:00 AM. You have written a Google Cloud Dataflow job to process that log file. You need to make sure the log file in processed once per day as inexpensively as possible. What should you do?